Article

VQ-WM: A Latent Feedback Motion Planning Framework for Robot Manipulation

The paper proposes Vector-Quantized World Model (VQ-WM), a latent feedback motion planning framework that combines discrete long-horizon search with continuous visual feedback control: a discrete latent state predictor models transitions between vector-quantized latent states, allowing the planner to search for the shortest path over long distances, while a continuous learned controller then reaches the planned states step by step through visual feedback to correct deviations and mitigate compounding errors.

Part of the event: Proposes VQ-WM latent feedback motion planning framework

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